A review of safe reinforcement learning methods for modern power systems
Due to the availability of more comprehensive measurement data in modern power systems,
there has been significant interest in developing and applying reinforcement learning (RL) …
there has been significant interest in developing and applying reinforcement learning (RL) …
Security-constrained unit commitment for electricity market: Modeling, solution methods, and future challenges
This paper summarizes the technical activities of the IEEE Task Force on Solving Large
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
A fast polytope-based approach for aggregating large-scale electric vehicles in the joint market under uncertainty
The aggregation of electric vehicles (EVs) has been advocated as an effective means to
manage and control large-scale plug-in EVs. However, the efficient aggregation is …
manage and control large-scale plug-in EVs. However, the efficient aggregation is …
Data-driven modeling of aggregate flexibility under uncertain and non-convex device models
Bundling a large number of distributed energy resources through a load aggregator has
been advocated as an effective means to integrate such resources into wholesale energy …
been advocated as an effective means to integrate such resources into wholesale energy …
An efficient method for quantifying the aggregate flexibility of plug-in electric vehicle populations
Plug-in electric vehicles (EVs) are widely recognized as being highly flexible electric loads
that can be pooled and controlled via aggregators to provide low-cost energy and ancillary …
that can be pooled and controlled via aggregators to provide low-cost energy and ancillary …
基于虚拟电池模型的外逼近闵可夫斯基热泵负荷调节可行域聚合方法
童宇轩， 胡俊杰， 杜昊明， 陈璨， 曾伟 - 电网技术, 2023 - epjournal.csee.org.cn
温控负荷(temperature control loads, TCLs) 灵活性可行域的有效量化和聚合是其响应电价与
调控信号的前提. 由于TCLs 能量在时间上耦合, 且设备调节特性和物理参数各异 …
调控信号的前提. 由于TCLs 能量在时间上耦合, 且设备调节特性和物理参数各异 …
[HTML][HTML] Aggregation and scheduling of massive 5G base station backup batteries using a price-guided orientable inner approximation method
Abstract 5G base station backup batteries (BSBs) are promising power balance and
frequency support resources for future low-inertia power systems with substantial renewable …
frequency support resources for future low-inertia power systems with substantial renewable …
Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch
Heating, ventilation, and air conditioning (HVAC) loads, with their rapid response
capabilities, can provide considerable intra-hour flexibility on the demand side for reserve …
capabilities, can provide considerable intra-hour flexibility on the demand side for reserve …
Network-Constrained Reinforcement Learning for Optimal EV Charging Control
This paper introduces a comprehensive control model that integrates aggregate electric
vehicle (EV) charging demand with power grid systems operations, capitalizing on the …
vehicle (EV) charging demand with power grid systems operations, capitalizing on the …
Approximate Nash equilibria in large nonconvex aggregative games
K Liu, N Oudjane, C Wan - Mathematics of Operations …, 2023 - pubsonline.informs.org
This paper shows the existence of O (1/n γ)-Nash equilibria in n-player noncooperative sum-
aggregative games in which the players' cost functions, depending only on their own action …
aggregative games in which the players' cost functions, depending only on their own action …